<i>Drosophila</i> Sociality Influences Immune Peptide Load and Apoptosis-induced Tumor Suppression independently of the Antitumor Peptide Defensin
Bibliographic record
Abstract
SUMMARY Patient’s social environment might influence cancer outcome. This potentially happens in Drosophila , as we previously reported that the social context influences the growth of intestinal tumors. To uncover the underlying social-induced physiological mechanisms, we performed RNA-seq of isogenized beheaded tumorous Drosophila . Importantly, expression of several immune peptides varied according to the social-induced tumor growth effect. Furthermore, ectopic expression in tumors of the apoptotic-inhibitor p35 suppressed the social-induced effect. Next, we challenged the immune peptide Defensin, previously reported to suppress imaginal disc tumor growth through a cell-death/JNK-dependent network. Nonetheless, the social-induced tumor suppression was maintained upon Defensin overexpression or JNKK-knockdown in tumors, and in defensin mutants. Surprisingly, tumor growth was reduced in the latter, indicating that Defensin sustains the growth of these intestinal tumors. In summary, our study indicates that the social context affects the immune response and that a given immune peptide may have opposite effects depending on tumor type.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".